AI Engineer

Who you are

• 2–5 years of experience in AI engineering, machine learning engineering, data science, software engineering, or a related technical field
• Strong programming skills in Python
• Experience using AI/ML frameworks such as PyTorch, TensorFlow, or similar technologies
• Foundational understanding of machine learning, deep learning, and AI engineering concepts
• Familiarity with transformer architectures, large language models, tokenization techniques, embeddings, and generative AI technologies
• Experience working with data processing, feature engineering, and model training workflows
• Familiarity with model evaluation techniques and performance measurement
• Exposure to cloud-based development environments such as AWS, Azure, or GCP
• Understanding of software engineering fundamentals, including testing, version control, CI/CD principles, and code quality practices
• Familiarity with APIs and integrating machine learning models into applications is a plus
• Knowledge of data structures, algorithms, and scalable computing concepts
• Strong analytical and problem-solving skills
• Effective communication and collaboration skills, with the ability to work in a cross-functional team environment
• Demonstrated ability to learn new technologies quickly and adapt to evolving technical requirements
• Bachelor's degree or equivalent practical experience in Computer Science, Engineering, Data Science, Mathematics, or a related field

What the job involves

• In this role, you will contribute to the development, testing, and deployment of AI and machine learning solutions across the program
• Develop and support AI and machine learning models under the guidance of senior team members
• Contribute to the development and evaluation of transformer-based and generative AI solutions, including embeddings, tokenization, fine-tuning, and inference workflows
• Build and maintain components of data preparation, feature engineering, and model training pipelines
• Assist in creating and managing datasets required for model training, validation, and evaluation
• Support the implementation and optimization of machine learning workflows and model-serving solutions
• Help integrate AI models into applications, APIs, and production environments
• Support model testing, validation, monitoring, and performance analysis to ensure quality and reliability
• Apply established software engineering and MLOps best practices, including version control, testing, documentation, and deployment automation
• Collaborate with AI engineers, data engineers, software engineers, and product teams to implement AI solutions
• Troubleshoot issues related to model performance, data quality, and system functionality
• Participate in code reviews, technical discussions, and knowledge-sharing activities
• Stay current with emerging AI technologies, frameworks, and engineering best practices

The application process

• End Date: July 28, 2026